Research and Achievement on Cigarette Label Printing Defect Detection Algorithm

Abstract

The cigarette label printing defect detection algorithm mainly includes image sensing and defect analysis. This paper carried out a deep research and analysis on the cigarette label printing defect detection algorithm by combing the domestic and foreign advanced machine vision-based printing defect detection technology, and improved the existing defect detection algorithm. Besides, it proposed to apply the minimum external rectangle in analyzing defect shape, realized the functions of detecting defect of printing images as well as analyzing and displaying the defect, and proved that the combination application of image difference and minimum external rectangle analytical method can bring better timeliness and higher detection accuracy.